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Publication search results
found 14 matches
- 2024
- Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, Luc Van Gool:
No One Left Behind: Real-World Federated Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2054-2070 (2024) - Wenke Huang, Mang Ye, Zekun Shi, Bo Du:
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 712-728 (2024) - Kummari Naveen Kumar, Chalavadi Krishna Mohan, Linga Reddy Cenkeramaddi:
The Impact of Adversarial Attacks on Federated Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2672-2691 (2024) - Yanan Li, Shusen Yang, Xuebin Ren, Liang Shi, Cong Zhao:
Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1243-1256 (2024) - Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao:
A Bayesian Federated Learning Framework With Online Laplace Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 1-16 (2024) - Yujun Shi, Jian Liang, Wenqing Zhang, Chuhui Xue, Vincent Y. F. Tan, Song Bai:
Understanding and Mitigating Dimensional Collapse in Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2936-2949 (2024) - Xubo Yue, Raed Kontar:
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4246-4261 (2024) - 2023
- Dohyeok Kwon, Jonghwan Park, Songnam Hong:
Tighter Regret Analysis and Optimization of Online Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15772-15789 (2023) - Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang:
FedIPR: Ownership Verification for Federated Deep Neural Network Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4521-4536 (2023) - Tao Sun, Dongsheng Li, Bao Wang:
Decentralized Federated Averaging. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4289-4301 (2023) - Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao:
Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14453-14464 (2023) - Shenglong Zhou, Geoffrey Ye Li:
Federated Learning Via Inexact ADMM. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9699-9708 (2023) - 2022
- Songnam Hong, Jeongmin Chae:
Communication-Efficient Randomized Algorithm for Multi-Kernel Online Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9872-9886 (2022) - Jun Sun, Tianyi Chen, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang:
Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2031-2044 (2022)
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